GitHub user orhankislal opened a pull request:
https://github.com/apache/madlib/pull/289
RF: Add impurity variable importance
JIRA: MADLIB-1205
This commit makes the following changes:
- Add impurity variable importance for random forests.
- Rename current cat_var_importance and con_var_importance measurements to
oob_cat_var_importance and oob_con_var_importance.
New impurity measurement is provided as impurity_var_importance, and
supports
grouping. It combines the importance values for both categorical and
continuous features into a single array.
Co-authored-by: Rahul Iyer <ri...@pivotal.io>
Co-authored-by: Jingyi Mei <j...@pivotal.io>
Co-authored-by: Arvind Sridhar <asrid...@pivotal.io>
Co-authored-by: Nandish Jayaram <njaya...@apache.org>
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/madlib/madlib rf_gini_importance
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/madlib/pull/289.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #289
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commit 622d46a85f4264fdc94bd41dc66a23f1aa2c3ed6
Author: Rahul Iyer <riyer@...>
Date: 2018-07-10T00:34:33Z
RF: Add impurity variable importance
JIRA: MADLIB-1205
This commit makes the following changes:
- Add impurity variable importance for random forests.
- Rename current cat_var_importance and con_var_importance measurements to
oob_cat_var_importance and oob_con_var_importance.
New impurity measurement is provided as impurity_var_importance, and
supports
grouping. It combines the importance values for both categorical and
continuous features into a single array.
Co-authored-by: Rahul Iyer <ri...@pivotal.io>
Co-authored-by: Jingyi Mei <j...@pivotal.io>
Co-authored-by: Arvind Sridhar <asrid...@pivotal.io>
Co-authored-by: Nandish Jayaram <njaya...@apache.org>
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